Senior AI Data Engineer
Thomson Reuters Corporation
- offer expired 18 days ago
- contract of employment
- entry level & blue collar
Create best practices for data development, conduct user training and code reviews
Assist in operationalizing AI/ML workflows focusing on code optimization and code standards
Create pipelines for data ingestion and data transformations
Ensure consistency with data and cloud architectural guiding principles
Approach development work with a DevOps and continuous integration mindset.
Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings
Bachelor’s in computer science or equivalent work experience.
5 years of experience in data development with demonstrable, proven expertise in design and development of high volume, high velocity data ingestion, complex data transformation using traditional ETL technologies or modern data ingestion/processing technologies.
Minimum 4 years of experience working with relational databases like Oracle, Postgres or similar using SQL.
Join us as we work to transform Thomson Reuters into a truly data-driven company.
The strategic ambition of the newly created Data & Analytics (D&A) function is to build, embed and mature a data-driven culture across the entire company resulting in a world-class Data & Analytics company.
The AI/ML & BI Platforms Team has been established to create, operate, and run enterprise AI/ML & BI Platforms that will facilitate the time to market for analytics and data science teams to run experiments, train models and generate insights. Core to the team’s principles will be the implementation of data and model governance standards and operationalization of the model release process.
This is role in of our strategic locations in India/Poland
The Senior AI Data Engineer will be responsible for designing and implementing data models and ETL pipelines to meet platform requirements, troubleshooting and resolving platform defects, unit and integration testing. The Senior AI Data Engineer is expected to be an expert in data development, following best practices and conducting code reviews and training for internal teams.
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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More information about Thomson Reuters can be found on thomsonreuters.com.